BACKGROUND

The Central Biotechnology Services (CBS) are seeking to appoint an individual with proven expertise in bioinformatics to join the College of Biomedical and Life Sciences Core Bioinformatics Team under the line management of the Lead for that function. This is a joint endeavour with Central Biotechnology Services (CBS) which is an ISO 9001:2015 certified Technology Facility that provides genomics and bioinformatics, proteins and diagnostics and cell analysis/imaging platforms, services, training and expertise to local researchers and external organisations.

RESPONSIBILITIES

The successful applicant will be responsible for delivering wide-ranging and excellent outputs in bioinformatics for a range of College research groups, for CBS projects and for teaching. The post holder will provide expert professional expertise, project management, extended analyses, Masters Level teaching and short courses in bioinformatics with the teaching and training responsibilities being 0.3 full-time equivalent (FTE).

Actively contribute to the overall research performance, teaching, training, innovation and engagement activities of the College and inspire others to do the same.

Take responsibility for the delivery of critical bioinformatics inputs on a range of research projects in the College evidenced by the production of measurable outputs, including key inputs into grant applications, publishing in leading academic journals, presenting at conferences and contributing to postgraduate research supervision.

To be an active member of the College Core Bioinformatics Team and take responsibility for all CBS requirements for internal research and external contract work.

Independently contribute to module development as the Module Lead for two core modules in computing and bioinformatics within the Masters Bioinformatics Programme.

Deliver teaching for the above modules and use varied approaches for teaching, learning, assessment and feedback to inspire students to fulfil their potential.

Actively contribute to other activities required for the effective delivery of the Masters Bioinformatics Programme.

Be responsible for co-ordinating and delivering a range of bioinformatics training options for staff and PhD students to enable colleagues to better engage with their data, use specialised software and develop core bioinformatics skills.

Effectively deliver on project management tasks associated with the role for the successful planning and organisation of the work and the implementation of procedures required to ensure accurate and timely outputs.

Contribute to the establishment of analysis infrastructure within the College, including writing analysis pipelines enabling massively parallel compute.

Be closely involved in the drafting of research manuscripts for publication and to take a leading role on data analysis aspects.

Develop and maintain research and teaching networks through regularly attending national and international conferences and participating in relevant local meetings and seminars.

Develop approaches that enable the efficient processing, analysis, storage, backup and access of data. You will use commercial software and your own pipelines to normalise and analyse data and achieve publication quality data to enable biologically relevant conclusions to be made.

Contribute to the strategic development of bioinformatics and genomics and initiatives within the College.

Provide bioinformatics advice to staff and students as a key member of the Data Clinic and otherwise as appropriate. This will encompass scientific background, technical and technological considerations, experimental design, troubleshooting and other aspects.

BACKGROUND

At BASF, we create chemistry through the power of connected minds. By balancing economic success with environmental protection and social responsibility, we are building a more sustainable future through chemistry. As the world's leading chemical company, we help our customers in nearly every industry meet the current and future needs of society through science and innovation.

We provide a challenging and rewarding work environment and are always working to form the best team --especially from within, through an emphasis on lifelong learning and development. And we are constantly striving to become an even better place to work. BASF has been recognized by Forbes Magazine as one of America's Best Employers in 2016. Come join us on our journey to create solutions for a sustainable future!

RESPONSIBILITIES

Where the Chemistry Happens...

The Senior Team Leader – Bioinformatics will lead a team of experienced bioinformaticians focused on the analysis of raw data generated through sequencing of DNA, RNA, and proteins. This includes the processing, analysis, integration, and visualization of data, as well as functional annotations. The Bioinformatics team leader ensures workflow automation, pathway analysis including data visualization networks.

The Senior Team Leader will closely interact with other scientists. In addition, tasks will include active networking with internal and external research groups, strategic planning, and supporting a functional vision focused on continuously improving bioinformatics expertise, algorithms, and methods. The individual is expected to play an active role in the GB computational bioscience platform to develop and use competences synergistically and most efficiently.

Formula for Success: You Will...

Be responsible for a team of experts in BASF's worldwide Digitalization in R&D Department providing support to our project partners in molecular biology, enzymology, and biochemistry.

Manage, coach, and develop the San Diego team and direct, hands-on, scientific support for projects by analyzing genome, proteome, transcriptome, and various other datasets for in-depth mining and interpretation.

Communicate clearly and openly, along with your skill at building relationships with our internal project partners is key for project success and continuous advancement of current and future needs.

Manage projects with diverse groups of participants will be necessary as part of local, regional, and global efforts in global bioinformatics team and with cross-functional teams. Leadership Core Responsibilities:

Coach and develop team members to reach their full potential.

Support development assignments and movement of talent across units.

Motivate and challenge to drive high performance.

Commit to "hiring the best" internally and externally.

Create an inclusive environment which embraces and derives value from diversity.

Execute performance and career development discussions.

Role model and enable development of competencies in others needed to implement BASF's strategy.

Establish and support a safety culture in which all accidents are preventable.

COMPENSATION

Create Your Own Chemistry: What We Offer You...

Adding value to our customers begins with adding value to you. You@BASF is the suite of benefits, perks, programs and unique opportunities we offer to support you---the whole you---in all stages of your life and career. With you@BASF, you create your own chemistry.

The total rewards that you receive as a BASF employee go way beyond a paycheck. From competitive health and insurance plans, to robust retirement benefits that include company-matching contributions, to making sure you never stop learning, we believe investing in you is investing in our success. Working for a large, global organization, you'll have a chance to grow professionally and personally, expand your network and build a rewarding and dynamic career.
BASFRS

REQUIREMENTS

Qualifications – External

Ingredients for Success: What We Look for in You...

A Ph.D. in Bioinformatics or related field with 4 years of research experience in Bioinformatics; a Master's degree in Bioinformatics or related field with 10 years of research experience in Bioinformatics; or a Bachelor's degree in Bioinformatics or related field with 13 years of research experience in Bioinformatics

Experience with bioinformatics as related to industrial enzyme design or strain development preferred

Familiarity working in/with industry

Background in managing a team of direct reports

Proven successful project management experience

Demonstrated leadership or mentoring experience and success working and communicating with customers, other researchers, peers, and other departments

Ability to work in a team environment encompassing multiple disciplines

Leadership Expectations: As a leader at BASF, you will play a key role in creating value for the company through people. Our top candidate will be expected to enable greater personal success among our employees through quality people development, coaching, and performance management. Leaders at BASF are role models to help employees develop the competencies needed to implement BASF's strategy. Our expectation is that leaders will coach and develop team members to reach their full potential, and support relevant development assignments, opportunities and moves while motivating and challenging employees to drive high performance. Our leaders must be committed to "hiring the best" internally and externally at the same time they are creating an inclusive environment which embraces and derives value from diversity.

HOW TO APPLY

POLICY

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, age, citizenship, color, religion, sex, marital status, national origin, disability status, gender identity or expression, protected veteran status, or any other characteristic protected by law.

DESCRIPTION

The Kubicek laboratory at CeMM, Research Center for Molecular Medicine of the Austrian Academy of Sciences in Vienna, is recruiting a bioinformatician working at the interface of chemical biology and epigenetics.

The Position:
You will systematically analyze and integrate large-scale data to understand the interplay between metabolic activities in the cell's nucleus and the regulation of gene expression. The data are generated in close collaboration with wet-lab scientists of the Kubicek group by technologies including proteomics, metabolomics, transcriptomics, epigenomics and chemical screening. The goal of the position is to develop an optimized data structure, build systematic analysis pipelines, set data in context with publically available external datasets and generate novel testable hypothesis for the role of small molecule metabolites in control of leukemic gene expression.

The Candidate:
You hold a degree in Computational Biology (Bachelor, Master or PhD degree), and have a proven track record in data integration and statistical analysis of epigenomics data. Expertise in programs such as R, Python, Matlab is a requirement, and cheminformatics skills (Schroedinger, MOE, LigandScout, Pipeline Pilot) are considered a plus. On top of your university degree you should bring along relevant experience in the field of computational biology, preferably in an academic setting or in a biomedical/pharmaceutical company. The working language at CeMM is English, and therefore excellent written and oral communication skills are required. You have an efficient work style and your strengths include networked thinking, accuracy and reliability. To complement our team we are looking for a computational biologist with organizational talent and team player skills who would like contribute significantly to our research work and take part proactively in our scientific discussions.

The Laboratory:
The Kubicek laboratory is working on the role of chromatin in the definition of cell types and cell states, and the use of chemistry to modulate epigenetic states. The ERC-funded project "Chromabolism" focuses on a systematic understanding of the role of chromatin-bound central metabolic enzymes in the regulation of gene expression.

Recent publications include the first single-cell transcriptomes from primary human pancreatic islets (Li et. al EMBO Rep. 2016), the identification of artemisinins as compounds impacting alpha cell identity (Li et al. Cell 2017), novel functional screening for chromatin states (Sdelci et al. Nat. Chem. Biol. 2017) and synergistic drug combinations (Licciardello et al. Nat. Chem. Biol. 2017). Furthermore, the laboratory hosts the Platform Austria for Chemical Biology PLACEBO, a unique chemical screening infrastructure with a collection of 90,000 small molecule compounds. In a unique automated setup, the platform conducts up to 40 high-throughput screens in collaboration with internal and external researchers. In addition, we apply proteomics, metabolomics, chemistry, mass spectrometry, bioinformatics, and next generation sequencing to address our research questions. You will have the opportunity to work in an innovative research environment and collaborate closely with other research groups at CeMM.

The Institute:
CeMM is a biomedical flagship institute in the heart of Europe, Vienna. We are committed to highest scientific standards and provide an international environment representing approximately 40 nationalities. The working language is English. CeMM has been ranked by The Scientist as one of the Best Places to Work Academia worldwide (link: goo.gl/51VMO). In the past 3 years CeMM groups published numerous ground-breaking studies in prestigious journals such as Science, Cell, Nature, New England Journal of Medicine, Nature Immunology, Immunity etc. CeMM is located within the medical campus of Vienna and operates several technology platforms (chemical biological screening, proteomics, metabolomics, next-generation sequencing) as well as extensive bioinformatics infrastructure. Vienna is an international city with a large English speaking community and frequently ranked the world's best city to live. The official language at CeMM is English, and more than 40 nationalities are represented. CeMM aims to promote equality of opportunity for all with the right mix of talent, competences, and potential thus we welcome applications from candidates with diverse backgrounds.

We offer a fair employee benefits package including health insurance, company health care, competitive holiday allowance, daily bonus for the in-house cafeteria and an annual gross salary (according to the FWF personnel costs scheme www.fwf.ac.at/en/r[...]osts/, depending on qualifications and experience). This position is funded by an ERC grant.

DEADLINE

Applications will be reviewed on a rolling basis until the position is filled.

We are seeking an enthusiastic Bioinformatics Implementation Manager to facilitate transfer of expertise and ownership of microbial genomic data processing and interpretation in four sentinel laboratories in strategic locations; India, The Philippines, Colombia and Nigeria. Each laboratory has been chosen to represent a network of hospitals either actively or on the cusp of being involved in the surveillance of AMR within each country.

RESPONSIBILITIES

You will lead front-line bioinformatics method development and support for large scale sample processing / data QC and interpretation at The Centre for Genomic Pathogen Surveillance (CGPS) at The Wellcome Sanger Institute (WSI) to provide expertise in interpretation through easy-to-use data tools and analytics will enable each location to further develop local research agendas and to feed data into broader global monitoring of particular pathogens between sites through open access databases.

You should be intimate with pipelines for the processing of microbial genomic data, and have an enthusiasm for the operationalizing and delivery of data and interpretation via the web. Within CGPS, we develop user-friendly web applications for the delivery of genomic data, linked to relevant epidemiological information for interpretation. (see Microreact , WGSA , Epicollect5)

Working closely with the Laboratory Implementation Manager, and a team of genomic epidemiologists, bioinformaticians, post-doctoral scientists and software and web application developers you will manage and lead the operationalisation of data flow infrastructure in sentinel laboratories in LMICs. You will bring an enthusiasm for translational bioinformatics and lead the development of cross-facility training programmes, bioinformatics SOPs, QA and QC and data interpretation protocols for the genomic surveillance of AMR.

REQUIREMENTS

An expert in independently solving bioinformatics problems, as part of PhD work and on-the-job training

TERMS

Fixed-term until 31st March 2021

COMPENSATION

Salary: Up to £46241pa plus excellent benefits

ABOUT US

The Wellcome Sanger Institute is a charitably funded research centre and committed to training the next generation of genome scientists. Focused on understanding the role of genetics in health and disease and a world leader in the genomic revolution, our mission is to use genome sequences to advance understanding of human and pathogen biology in order to improve human health. We aim to provide results that can be translated into diagnostics, treatments or therapies that reduce global health burdens. Our science is large-scale and organised into Programmes, led by our Faculty who conceive and deliver our science, and supported by our Scientific Operations teams responsible for all data production pipelines at the Institute. Our Campus: Set over 125 acres, the stunning and dynamic Wellcome Genome Campus is the biggest aggregate concentration of people in the world working on the common theme of Genomes and BioData. It brings together a diverse and extraordinary scientific community, committed to delivering life-changing science with the reach, scale and imagination to solve some of humanity's greatest challenges. The Campus is a community of organisations working in genomic research, enterprise, education and discourse. It is home to some of the world's foremost institutes and organisations in genomics and computational biology, including the Wellcome Sanger Institute which is the largest organisation on Campus, the European Bioinformatics Institute (EMBL-EBI), Open Targets and Genomics England. Also located here is Connecting Science - its mission is to enable everyone to explore genomic science and its impact on research, health and society by drawing on the ground-breaking research taking place on the Campus.

HOW TO APPLY

DEADLINE

Please include a covering letter and CV with your application. Closing date for applications: 12 April 2018

POLICY

Genome Research Limited is an Equal Opportunity employer. As part of our commitment to gender equality and promoting women's careers in science, we hold an Athena SWAN Bronze Award. We will consider all applicants without discrimination on grounds of disability, sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or re-assignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law.

BACKGROUND

Paramount are working in partnership with Genomics England to expand their team in order to deliver success Paramount are working in partnership with Genomics England to expand their team in order to with the 100,000 Genomes Project. This is a challenging and fast moving project with the aim to carry out whole genome sequencing on 100,000 participants. Genomics England works with key partners to collect, transport, store, quality check and sequence the samples from participants. The aim for this project is to create a new genomic medicine service for the NHS – transforming the way people are cared for. Patients may be offered a diagnosis where there wasn't one before. In time, there is the potential of new and more effective treatments.

The post holder provides high calibre bioinformatics research support to external researchers and industrial partners by enabling analysis, facilitating access to datasets and ensuring optimal use of the Genomics England Research Data Centre. The post holder understands our datasets and how to analyse clinical and genomic data and use tools and services to realise the maximum value from accessing our data. The post holder will also be experienced in statistical genetics, GWAS studies or have experience with population genetics or cohort studies.

There is cross-working with other bioinformatics team members developing our interpretation pipeline for the National Health Service.

RESPONSIBILITIES

Understanding the needs of customers (academic, NHS and industry); working with customers to ensure that their scientific projects are successful and that they gain value from their interactions with our Research Environment. This includes face to face engagement to assess needs and execution

Carrying out complex custom analysis

Providing high calibre troubleshooting of problems for customers, appraise customers and Genomics England options and execute solutions, co-ordinating with internal teams when necessary

Keeping track of customer relationships and being the internal authority on specific customer issues, needs, and future plans

Being the key point of contact with customers collecting and updating requirements, communicating progress and feedback

Sharing knowledge within Genomics England about customer needs and experiences and contributing to the development of the Research Environment

Collaborating internally, particularly with others in the Chief Scientist's team, our Commercial team, Bioinformatics team and software and infrastructure engineers, to develop and deploy suitable solutions for customers

Working from time to time on the NHS Clinical Interpretation pipeline (creating a seamless bioinformatics team who understand the NHS and research pipelines)

REQUIREMENTS

A strong background in statistical genetics or genomics and experience in a quantitative discipline such as Mathematics, Physics, or Computer Science

Strong evidence of experience of bioinformatics research and analytics using large genomic datasets of next generation sequencing data alongside clinical data in a field relevant to Genomics England

Strong customer-service orientation and proven expertise in partnership working with customers, preferably in the scientific/pharma industry

Excellent communication skills, both written and verbal and excellent facilitation, influencing and presentation skills

Demonstrated knowledge and competence in relevant programming languages and applications (e.g. R, Python) and experience of using a suite of bioinformatics tools to problem solve and answer research questions

Ability to work independently with a high degree of motivation and focus, and to complete tasks according to company priorities with minimal supervision

Adaptable to an ever-evolving working environment

Experience of technical writing

Knowledge and competence in relevant applications eg LabKey, OpenCGA

Strong publication record in a relevant field, and a proven ability to stay abreast of developments in that field

BACKGROUND

The Department of Bio and Health Informatics at the Technical University of Denmark (DTU Bioinformatics) has its main research and teaching activities in bio-medical and bio-technological informatics, metagenomics, epidemiology, quantitative genomics, integrative systems biology and machine learning. The research involves the use of vast amount of phenotypic, clinical, environmental, biological, biotechnological and multi-omic information in humans, animals, plants and microbes. We run projects combining big data and laboratory research via the national supercomputing center or Computerome and the molecular biology/genomics laboratories.

The department is seeking an associate professor in the field of metagenomics and bioinformatics with a focus on the human and animal microbiome. The research at DTU Bioinformatics is focused on quantitative, bioinformatics and computational analyses of new data and data types being generated within biological, biomedical, clinical, and biotechnological and life sciences area. It strives to gain new knowledge, drive innovation in human and animal sciences and technology, and collaborate with all relevant industries. A cornerstone in achieving this is the dedicated effort within DTU Bioinformatics to develop bioinformatics, quantitative genomics, immuno-informatics, metagenomics and systems biology methods and solutions to the challenge of handling and interpreting large scale and heterogeneous big data. The department consists of seven research groups and two core infrastructures (DMAC and access to Computerome). The department's research is centered on the following areas:

RESPONSIBILITIES

Responsibilities and tasks:

The applicant should be able to document a strong profile for research, education and external collaborations in human/animal metagenomics and bioinformatics including expertise in high performance computing in life / medical sciences.

The candidate must actively take part in the development of bachelor and master courses and teach within the field of metagenomics and bioinformatics.

The candidate must actively develop and run research projects or programs and actively seek external funding from national, EU and international funding bodies in human/animal metagenomics and related areas.

The candidate will closely collaborate with the quantitative & systems genomics group in the area of microbiome systems biology/genomics.

Supervise and/or co-supervise master and PhD students and mentor postdocs and assistant professors, in his/her area of expertise and perform academic assessment work.

Dissemination of research results at all levels including publications of research in high impact journals.

Establish and strengthen collaboration with national and international groups working in the above areas.

Continued interaction with peers from relevant departments and centers at DTU and from other national and international research groups.

REQUIREMENTS

Qualifications:

A PhD degree in one or more of the following areas: genome informatics or bioinformatics and computational biology or systems biology.

Academic qualifications equivalent to those obtained by holding a senior postdoc / research associate, senior scientist or assistant professorship, and documented didactic/pedagogic training.

Further qualifications:

Documented experience in the use of next generation sequencing (NGS) methods and tools for analysis of NGS data (genomic, metagenomics, transcriptomic) in human or animals

A good experience in UNIX / LINUX computing systems and HPC infrastructure

Assessment :
In the assessment of the candidates consideration will be given to:

Experience and quality of teaching

Research impact and experience, funding track record, and research vision

Societal impact

Documented innovation activities, including commercialization and collaboration with industry

International impact and experience

Leadership potential and collaboration

Communication skills

COMPENSATION

We offer :
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and an academic freedom tempered by responsibility.

Salary and terms of employment :
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed with the relevant union.

ABOUT US

DTU Bioinformatics has its main research and teaching activities in bio-medical and bio-technological informatics, metagenomics, epidemiology, quantitative genomics, integrative systems biology, artificial intelligence and machine learning. The research involves the use of vast amounts of phenotypic, clinical, environmental, biological and multi-omic information in humans, animals, plants and microbes. We run projects combining big data and laboratory research via the national supercomputing center or Computerome and the molecular genomics laboratories.

DTU is a technical university providing internationally leading research, education, innovation and scientific advice. Our staff of 5,800 advance science and technology to create innovative solutions that meet the demands of society; and our 11,000 students are being educated to address the technological challenges of the future. DTU is an independent academic university collaborating globally with business, industry, government, and public agencies.

HOW TO APPLY

Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online", fill in the online application form, and attach all your materials in English in one PDF file. The file must include:

Application (cover letter)

CV

Views regarding teaching and research based on the "Assessment" bullets

Documentation of previous teaching and research based on the "Assessment" bullets

BACKGROUND

Zymeworks is a clinical-stage biopharmaceutical company dedicated to the discovery, development and commercialization of next-generation bispecific and multifunctional biotherapeutics. Zymeworks' suite of complementary therapeutic platforms and its fully-integrated drug development engine provide the flexibility and compatibility to precisely engineer and develop highly-differentiated product candidates.

Zymeworks is seeking a highly-motivated professional who is looking to grow their career with our company.

About the Position:
We are seeking a Scientist to join the Technology Integration & Bioinformatics (TI&B) group, a team of scientists with diverse backgrounds from the computational and biological sciences. Scientists in the TI&B group work closely with the Software and Modeling & Simulation groups to advance our in-house technology platforms for biologics optimization including protein and antibody engineering. In addition, members of the TI&B group work with Scientists in the R&D departments assisting in bioinformatics projects and implementing methods for data analysis and interpretation. The ideal candidate will have a strong background in the implementation of bioinformatics methods, algorithm development, as well as experience in analyzing experimental data.

The position reports to the Lead of the Technology Integration & Bioinformatics group and will be based in Vancouver, BC.

RESPONSIBILITIES

Key Responsibilities:

Assists the team with the research, development and implementation of bioinformatics tools, and algorithms that facilitate the analysis of experimental and in-silico data.

Designs, conducts and/or validates statistical analysis of in vitro and in vivo experimental data, and assists scientists in making data-driven decisions.

Works with the scientists in Protein Engineering, Discovery Research, and Therapeutics Research teams to gather requirements and specifications for bioinformatics methods and tools.

Implements bioinformatics methods for protein engineering and antibody discovery in conjunction with the software development group.

Participates in the development of high-throughput and large dataset mining and analysis techniques.

REQUIREMENTS

Qualifications and Experience:

MSc or PhD in Bioinformatics, Mathematics, Computer Science or related field and 2 to 5 years' related experience.

Strong background in statistical analysis using R, SAS, Matlab or other statistical packages.

Experience in implementing and validating informatics methods.

Effective software development skills in Python or any other programming language.

Experience in analysis of next generation sequencing data is considered an asset.

Experience in biostatistics and clinical data analysis is considered an asset.

Knowledge of molecular biology and protein science is considered an asset.

Excellent communication in spoken and written English.

COMPENSATION

We offer challenging career opportunities, competitive benefits and an environment that recognizes and rewards performance.

ABOUT US

Why Work for Us?
Zymeworks' employees are passionate, engaged and extremely motivated to succeed. We are excited by the cutting-edge science and technology, the endless possibilities this union holds and the sheer opportunity to be a part of something big. To learn more about Zymeworks Inc. and our current openings, please visit our website at www.zymeworks.com.

BACKGROUND

Applications are sought for a bioinfomatician to join a comprehensive translational research programme in breast cancer at the Centre for Molecular Oncology, within the world-class Barts Cancer Institute (BCI) at the Barts and The London School of Medicine and Dentistry, Queen Mary University of London. The successful candidate will be responsible for statistical analysis on large-scale breast cancer data. The post will be based in the Centre for Experimental Cancer Medicine as well as the Bioinformatics Unit, Centre of Molecular Oncology, Barts Cancer Institute, within the Barts and The London School of Medicine and Dentistry, Queen Mary University of London.

There is an urgent need for validated biomarkers that can improve clinical management of breast cancer patients and facilitate personalised therapeutic strategies. The current practice of analysing archival tumour tissue is limited by the fact that the molecular characteristics of cancers change significantly over time, mandating re-profiling at various time-points to ensure the available information is representative of the tumour that is being treated. Although repeated tumour biopsies could address this issue, it is not feasible for the majority of patients to have repeat biopsies at several time-points, given their invasive nature. Therefore, the development of non-invasive methods to detect and monitor tumours remains a major clinical challenge. The successful applicant for this post will be analysing methylation resequencing datasets from 2 cohorts of patients; 800 patients with early breast cancer with cell free DNA (extracted from plasma) for over 5 years to determine if monitoring of patients will identify relapse/progression and 330 patients with advanced breast cancer with a follow-up till disease progression. The candidate will be monitoring changes to determine their genetic plasticity.

REQUIREMENTS

Essential requirements for this post include a PhD in Bioinformatics/Computational Science or a related discipline and significant experience in statistical analysis on large-scale data, ideally in a life science environment. A demonstrated ability to communicate well, work within a team and maintain good laboratory records are essential. This post requires expertise in scripting languages such as C-shell, Borne-Shell or Perl in a Linux environment. Familiarity with Bioconductor and R statistical environment is highly desirable. A bioinformatics expertise, in microarrays, methylation and next-generation sequencing data analysis in a cancer research context would be an advantage. Experience of additional languages, such as Python, Java or C/C++, is also desirable.

TERMS

The post is a full-time, fixed-term position for 2 years.

COMPENSATION

Starting salary will be in the Grade 4 or Grade 5 range £32,405 - £42,431 per annum dependent on experience and inclusive of London Allowance. Benefits include 30 days annual leave, a defined benefit pension scheme and an interest free season ticket loan.

Salary: £36,677 - £43,152 (Grade 4)

HOW TO APPLY

To apply, please visit the Human Resources website on www.hr.qmul.ac.uk/vacancies and search for reference QMUL13427. The closing date is 19 March 2018 and interviews are likely to be held shortly thereafter.

Informal enquiries about this post, including arrangements to visit the Institute/Centre, can be made to Prof Peter Schmid: email p.schmid[at]qmul.ac.uk or Prof Claude Chelala: +(0)207 882 3570 email c.chelala[at]qmul.ac.uk

DEADLINE

Closing date: 19-Mar-2018

POLICY

Valuing Diversity & Committed to Equality

The Barts Cancer Institute requires that applicants invited for interview will need to provide all certificates to confirm their qualifications (specified in the Job Description). Candidates must be able to demonstrate their eligibility to work in the UK in accordance with the Immigration, Asylum and Nationality Act 2006. Where required this may include entry clearance or continued leave to remain under the Points Based Immigration Scheme.

DESCRIPTION

NIEHS is seeking a dynamic, highly motivated Senior Scientist to serve as Director of the Office of Data Science (ODS). ODS provides guidance and strategies in the acquisition, development, and deployment of scientific data and knowledge management solutions at NIEHS through the informationist, and data science programs. The mission of ODS is to accelerate scientific discovery, foster collaborative research, and ultimately improve public health through the application of scientific data and knowledge management in the environmental health sciences. ODS: (1) Implements and translates new data science methods to enhance environmental health sciences research; (2) develops and implements data science training opportunities; (3) enhances researcher's ability to find, access, interoperate, and reuse data; (4) develops and supports policies and standards for data integration and harmonization; (5) facilitates transformation of data and information into user-friendly knowledge-based platforms; and (6) represents NIEHS in trans-NIH and interagency data science and knowledge management activities.

In collaboration with the Computer Technology Branch and the Scientific Information Office, ODS works to implement FAIR (findable, accessible, interoperable, and reusable) data concepts within the NIEHS. The ODS is envisioned to comprise 5 on site staff with a data curator and data science architect to be hired, and access to a significant support contract with annual resources totaling ~ $2.7-3 M.

REQUIREMENTS

We are seeking a highly qualified individual with detailed scientific knowledge of informatics and software engineering with a focus on the life sciences. The incumbent will be experienced in directing research in the development of new technologies in the area of data management, and will have supervisory experience.

The ideal candidate for this position will have a professional research-based doctoral degree (Ph.D.) in computer science or a related field, plus experience in the life sciences, evidence of national recognition, publications in appropriate scholarly journals, and demonstrated success in the development of production--level software, hardware, or integrated data management applications.

Finally, the candidate must possess the communication and people skills to work across the NIEHS intramural and extramural research divisions to champion the implementation of best data management practices and procedures, as well as devise a data management infrastructure that meets the needs of the institute and is in synchrony with data management tools and approaches across the 27 NIH institutes and centers.

LOCALE

Department of Health and Human Services
National Institutes of Health (NIH)
National Institute of Environmental Health Sciences (NIEHS)
Research Triangle Park, North Carolina

ABOUT US

The NIH is the premier biomedical research center for the world. Its 27 institutes and centers employ more than 18,000 employees doing a vast array of jobs, all supporting efforts for a healthy nation. For information about the NIH mission, goals and institutes and centers, visit www.nih.gov/about.

HOW TO APPLY

Applications for this position will be accepted 3/20/2018 through 3/29/2018 only. To apply, please visit www.usajobs.gov/GetJ[...]75600. In addition to the USAJOBS supporting documentation requirements, the candidate may be asked to provide additional information about employment history as part of the hiring process that will highlight key qualifications, and the applicant's philosophy for supporting the mission of the ODS. If you have questions regarding how to apply, or need additional information, please contact Angela Davis at 984-287-3018 or angela.davis[at]nih.gov.

POLICY

DHHS, NIH, NIEHS are an equal opportunity employer. Applications from women, minorities and persons with disabilities are strongly encouraged.

DESCRIPTION

A collaborative computational postdoctoral training position based at the Broad Institute of MIT and Harvard is available. The position will be jointly mentored by Alex Meissner (www.molgen.mpg.de/3661[...]ssner) and Martin Aryee (aryee.mgh.harvard.edu). We are seeking a recent or prospective doctoral graduate with a background in biostatistics, statistics, computational biology or a related quantitative field. The successful applicant will work to develop novel epigenomics analysis methodology and will also be expected to lead data analysis efforts for specific biology-focused research projects of interest to the candidate. Our current efforts are centered on questions in embryonic development and cancer, with major foci including single-cell epigenomic analysis and tools for 3-dimensional genome topology analysis. The ideal candidate will have an interest and background both in developing statistical methodology for genomic data and in pursuing scientific research questions in biology. The work will involve frequent interaction with biologists, clinicians, statisticians and other quantitative scientists. The Fellow will be a Broad Institute employee and will have an additional appointment at Massachusetts General Hospital.

REQUIREMENTS

Qualifications: The position requires a PhD or equivalent degree, a high degree of self-motivation and excellent written and verbal communication skills. Expertise in statistical analysis of epigenomic data is desirable but not required.

DEADLINE

BACKGROUND

100,000 Genomes Project – Bioinformatics Team – Cancer & Rare Disease

Paramount are working in partnership with Genomics England to expand their team in order to deliver success with the 100,000 Genomes Project. This is a challenging and fast moving project with the aim to carry out whole genome sequencing on 100,000 participants.
A fantastic new opportunity has become available for a Clinical Bioinformatician to join their highly motivated Bioinformatics team that uses state-of-the art approaches to whole genome sequences in the areas of cancer, rare diseases, sequence alignment and variant calling. This is a 12-month fixed-term contract which would be ideal for a Bioinformatician who has worked on clinical/patient data within the NHS or other organisations.

Genomics England works with key partners to collect, transport, store, quality check and sequence the samples from participants. The aim for this project is to create a new genomic medicine service for the NHS – transforming the way people are cared for. Patients may be offered a diagnosis where there wasn't one before. In time, there is the potential of new and more effective treatments.

RESPONSIBILITIES

Your main responsibilities as a Clinical Bioinformatician will involve:

Contributing to their in-house pipeline to analyse WGS data of patients and aid in the interpretation of findings using clinical bioinformatics capabilities

Performing quality assurance of the analysis and interpretation made by third parties and by their in-house pipeline for both Rare Disease and Cancer

Reviewing variant calls in a timely manner that can be used to inform clinical decisions and for research purposes within the NHS GMCs and academic communities

Performing user acceptance testing of third party decision support tools for interpretation

improvements and supporting staff with process development and documentation

Familiarity with clinical research and the NHS

Experience of writing and following Standard Operating Procedures

COMPENSATION

You'll be working in their brand new offices in Central London and in return you will receive competitive salary and have the opportunity to work within a successful company in a fantastic location in Central London.

HOW TO APPLY

If you'd like to know more and are interested in applying, please contact Anna on alauterjung[at]pararecruit.com or +44 (0) 121 616 3469 with an up-to-date CV. Look forward to hearing from you!

BACKGROUND

100,000 Genomes Project – Central London – Software Team

Paramount are working in partnership with Genomics England to expand their team in order to deliver success with the 100,000 Genomes Project. This is a challenging and fast moving project with the aim to carry out whole genome sequencing on 100,000 participants.
Currently the team are looking for a talented Bioinformatician with Python Software Development experience who will work as part of the Software Team at Genomics England responsible for pipeline delivery. This role would suit a Bioinformatics Software Developer with experience in NGS as well as Python.

Genomics England works with key partners to collect, transport, store, quality check and sequence the samples from participants. The aim for this project is to create a new genomic medicine service for the NHS – transforming the way people are cared for. Patients may be offered a diagnosis where there wasn't one before. In time, there is the potential of new and more effective treatments. You will be working as part of a team of 4 people, and will contribute to the largest national Genome sequencing effort of its kind.

RESPONSIBILITIES

Your main responsibilities as a Bioinformatician will involve:

Producing high quality code

Liaising with internal and external parties to determine platform requirements

Implementing workflows for high-throughput sequencing data analysis

Establishing general bioinformatics resources for day-to-day use by colleagues

REQUIREMENTS

The ideal Bioinformatics Software Developer will meet the following requirements:

DESCRIPTION

One postdoctoral position is available for motivated candidates at St. Jude Children's Research Hospital, a premier center for biomedical investigation located in Memphis, Tennessee, USA. Our group has contributed to the development of proteomics and metabolomics pipelines by high resolution mass spectrometry. The successful applicant will develop innovative bioinformatics tools to process omics datasets and derive testable hypothesis. The omics datasets will be generated locally by sophisticated genomics, proteomics and metabolomics platforms, from clinical human specimens and mouse disease models. The overarching aim is to develop novel systems biology approaches to provide critical insights into disease pathogenesis and therapeutic intervention, as well as biomarker discovery for precision medicine (www.stjude.org/peng). Our publication record is available on Google Scholar (150+ publications, 18,000+ citations, scholar.google.com/cita[...]hl=en).

REQUIREMENTS

The ideal candidate shall have a background in bioinformatics, computational biology, or a related field. Proven experience using bioinformatics to analyze high-throughput genomics and proteomics data is preferred. Experience working in UNIX and LINUX environments and programming experience in Perl or C++ are required. Candidates must have an excellent publication record.

COMPENSATION

St. Jude postdoctoral fellows are provided with a highly competitive salary (median $53,000) in an affordable city, a professional development allowance ($2,500), and an array of benefits, including health, dental and vision coverage, and a retirement program.

ABOUT US

St. Jude is a top ranked hospital (#1 for pediatric cancer specialty in U.S. in 2017) and a world-class basic research institute with 260+ faculty members.

HOW TO APPLY

Please submit CV, three references, a brief statement regarding previous work and future goals to Dr. Junmin Peng (junmin.peng[at]stjude.org), Member (Full Professor) in Departments of Structural Biology and Developmental Neurobiology, Director of St. Jude Proteomics Facility, St. Jude Children's Research Hospital.

RESPONSIBILITIES

The Faculty of Health Sciences (healthsci.queensu.ca) and the Department of Pathology and Molecular Medicine at Queen's University are seeking an international leader and innovator in the areas of bioinformatics and health analytics. Applicants should have an established research program focused on precision medicine, particularly in relation to the identification of cancer diagnostic and prognostic markers and potential therapeutic targets. The successful candidate will become the designated nominee for an approved Tier I Canada Research Chair (www.chairs-chaires.gc.ca/prog[...].aspx). This is a tenured appointment at the level of Professor.

REQUIREMENTS

Candidates must hold a PhD or MD/PhD (or equivalent). The main criteria for selection are an established record of global leadership and innovation in bioinformatics, and a track record of mentorship and training of high-quality personnel in various emerging areas in the field. Queen's University is committed to establishing an international reputation in health related informatics, building on existing assets that include: the Centre for Advanced Computing (CAC, cac.queensu.ca ), a cluster of computer systems and storage resources shared by five universities and three colleges; the biobank resources and ongoing capabilities of the Canadian Cancer Trials Group (CCTG, www.ctg.queensu.ca ), which is a major national and international cooperative oncology clinical trials organization, and the national database of chronic disease management developed by the Canadian Primary Care Sentinel Surveillance Network (cpcssn.ca ) , a trans-Canadian network of 11 primary care networks. In addition, robust linkages exist between CAC and the CCTG with the informatics programs of the Ontario Brain Institute (braininstitute.ca ) and the Ontario Institute for Cancer Research (oicr.on.ca ), respectively.

The successful candidate will be expected to play a leadership role in: i) developing and applying modern data analytics concepts, methods and techniques to utilize an ever-growing wealth of biomedical data generated by existing and emerging world-class research programs at Queen's University (www.queensu.ca/research/centres ), ii) fostering collaborative links between existing researchers involved in health related analytics and informatics across the University, and iii) the recruitment and mentorship of new faculty in the informatics/analytics areas. Salary is commensurate with qualifications and experience.

LOCALE

HOW TO APPLY

The University invites applications from all qualified individuals. Queen's is committed to diversity and inclusion and has an employment equity program that meets the goals of the CRC program and the requirements of our collective agreement with the Faculty Association. Until such time as we have met our equity targets (queensu.ca/vpr/[...]-crcp), preference will be given to members of the Four Designated Groups under the Canada Research Chairs program: "women, Indigenous/Aboriginal peoples, persons with disabilities and racialized persons/visible minorities." All applicants will be invited to self-identify once they have applied; those who wish to be considered under our employment equity provisions are required to self-identify. Self-identification information will be held in confidence by the Equity Office and one member of the selection committee. All qualified candidates are encouraged to apply; however, in accordance with Canadian Immigration requirements, Canadian citizens and Permanent Residents of Canada will be given priority.

To comply with Federal laws, the University is obliged to gather statistical information about how many applicants for each job vacancy are Canadian citizens / permanent residents of Canada. Applicants need not identify their country of origin or citizenship, however, all applications must include one of the following statements: "I am a Canadian citizen / permanent resident of Canada"; OR, "I am not a Canadian citizen / permanent resident of Canada". Applications that do not include this information will be deemed incomplete.

A complete application consists of: (i) a cover letter (including one of the two statements regarding Canadian citizenship / permanent resident status specified in the previous paragraph), (ii) a full curriculum vitae (including a list of publications, awards and grants received), and (iii) a summary of the proposed plan of research. Please send your application electronically to Dr. Roger Deeley, Chair of the search committee (c/o Ms. Barbara Latimer bal[at]queensu.ca).

The University will provide support in its recruitment processes to applicants with disabilities, including accommodation that takes into account an applicant's accessibility needs. If you require accommodation during the interview process, please contact: Ms. Barbara Latimer (bal[at]queensu.ca).

Academic staff at Queen's University are governed by a Collective Agreement between the University and the Queen's University Faculty Association (QUFA), which is posted at queensu.ca/facu[...]ement and at www.qufa.ca.

Appointments are subject to review and final approval by the Principal. Only nominees external to Queen's University will be considered. (Please note that, for the purposes of this competition, Queen's Term Adjuncts and Adjunct-1s will be considered as external nominees.) Review of applications will commence on 22 March 2018 and remain open until a suitable candidate is recruited.

BACKGROUND

Paramount are working in partnership with Genomics England to expand their team in order to deliver success Paramount are working in partnership with Genomics England to expand their team in order to with the 100,000 Genomes Project. This is a challenging and fast moving project with the aim to carry out whole genome sequencing on 100,000 participants. Genomics England works with key partners to collect, transport, store, quality check and sequence the samples from participants. The aim for this project is to create a new genomic medicine service for the NHS – transforming the way people are cared for. Patients may be offered a diagnosis where there wasn't one before. In time, there is the potential of new and more effective treatments.

This is an ideal role for an experienced bioinformatician with software development experience to work as part of the team responsible for pipeline delivery. It's also an opportunity to work with some of the most established and smartest minds in the genomics world.

RESPONSIBILITIES

Key Accountabilities:

Produces high quality code

Liaises with internal and external parties to determine platform requirements

Implements workflows for high-throughput sequencing data analysis

Establishes general bioinformatics resources for day-to-day use by colleagues